IDEAS home Printed from https://ideas.repec.org/r/eee/ecmode/v18y2001i2p269-280.html
   My bibliography  Save this item

The Chow-Lin method using dynamic models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Justin Doran & Bernard Fingleton, 2014. "Economic shocks and growth: Spatio-temporal perspectives on Europe's economies in a time of crisis," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 137-165, November.
  2. Massimiliano Marcellino, 2007. "Pooling‐Based Data Interpolation and Backdating," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(1), pages 53-71, January.
  3. Kahouli, Sondès, 2011. "Re-examining uranium supply and demand: New insights," Energy Policy, Elsevier, vol. 39(1), pages 358-376, January.
  4. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
  5. Andrea Silvestrini & Matteo Salto & Laurent Moulin & David Veredas, 2008. "Monitoring and forecasting annual public deficit every month: the case of France," Empirical Economics, Springer, vol. 34(3), pages 493-524, June.
  6. Eliana González & Luis F. Melo & Luis E. Rojas & Brayan Rojas, 2011. "Estimations of the Natural Rate of Interest in Colombia," Money Affairs, CEMLA, vol. 0(1), pages 33-75, January-J.
  7. Massimo Gerli & Giovanni Marini, 2006. "Spatial and Temporal Time Series Conversion: A Consistent Estimator of the Error Variance-Covariance Matrix," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 373-405.
  8. Pieroni, Luca & d'Agostino, Giorgio & Lorusso, Marco, 2008. "Can we declare military Keynesianism dead?," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 675-691.
  9. Marcus Scheiblecker & Sandra Bilek-Steindl & Michael Wüger, 2007. "Quarterly National Accounts Inventory of Austria. Description of Applied Methods and Data Sources," WIFO Studies, WIFO, number 37249, March.
  10. Mariia Artemova & Francisco Blasques & Siem Jan Koopman, 2023. "A Multilevel Factor Model for Economic Activity with Observation Driven Dynamic Factors," Tinbergen Institute Discussion Papers 23-021/III, Tinbergen Institute.
  11. Valter Giacinto & Libero Monteforte & Andrea Filippone & Francesco Montaruli & Tiziano Ropele, 2021. "ITER: A Quarterly Indicator of Regional Economic Activity in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 129-147, March.
  12. David I. Okorie, 2021. "A network analysis of electricity demand and the cryptocurrency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3093-3108, April.
  13. Mason, Charles F., 2011. "Why do Firms Hold Oil Stockpiles?," Energy: Resources and Markets 120051, Fondazione Eni Enrico Mattei (FEEM).
  14. Laura Bisio & Filippo Moauro, 2018. "Temporal disaggregation by dynamic regressions: Recent developments in Italian quarterly national accounts," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 471-494, November.
  15. Christian Caamaño-Carrillo & Sergio Contreras-Espinoza & Orietta Nicolis, 2023. "Reconstructing the Quarterly Series of the Chilean Gross Domestic Product Using a State Space Approach," Mathematics, MDPI, vol. 11(8), pages 1-14, April.
  16. Oliveira, Fernando Nascimento, 2016. "The External Finance Premium in Brazil: Empirical Analyses Using State Space Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(1), March.
  17. Huang, Yu-Lieh, 2012. "Measuring business cycles: A temporal disaggregation model with regime switching," Economic Modelling, Elsevier, vol. 29(2), pages 283-290.
  18. Bobeica, Elena & Ciccarelli, Matteo & Vansteenkiste, Isabel, 2021. "The changing link between labor cost and price inflation in the United States," Working Paper Series 2583, European Central Bank.
  19. Fernando N. de Oliveira, 2014. "Investment of Firms in Brazil: do financial restrictions, unexpected monetary shocks and BNDES play important roles?," Working Papers Series 366, Central Bank of Brazil, Research Department.
  20. Idrovo Aguirre, Byron, 2007. "SEIA: Una mirada alternativa de la inversión [A new economic indicator]," MPRA Paper 19367, University Library of Munich, Germany, revised 24 Dec 2007.
  21. José Casals & Miguel Jerez & Sonia Sotoca, 2009. "Modelling and forecasting time series sampled at different frequencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 316-342.
  22. Mateusz Pipień & Sylwia Roszkowska, 2015. "Szacunki kwartalnego PKB w polskich województwach," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 145-169.
  23. Mateusz Pipień & Sylwia Roszkowska, 2015. "Quarterly estimates of regional GDP in Poland – application of statistical inference of functions of parameters," NBP Working Papers 219, Narodowy Bank Polski.
  24. Mario Marazzi & Boriana Miloucheva & Gustavo Bobonis, 2021. "Displacement and Mortality After a Disaster: Deaths of Puerto Ricans in the United States Post-Hurricane Maria," Working Papers 210005, Canadian Centre for Health Economics.
  25. Elisa Keller, 2007. "Classical and Bayesian Methods for the VAR Analysis: International Comparisons," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 149-202, November-.
  26. Guay, Alain & Maurin, Alain, 2015. "Disaggregation methods based on MIDAS regression," Economic Modelling, Elsevier, vol. 50(C), pages 123-129.
  27. Bettendorf, Timo & Bursian, Dirk, 2017. "Chow-Lin ×N: How adding a panel dimension can improve accuracy," Economics Letters, Elsevier, vol. 157(C), pages 5-9.
  28. George Kapetanios & Fotis Papailias, 2022. "An Evaluation Framework for Targeted Indicators Aggregates vs. Disaggregates," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-17, Economic Statistics Centre of Excellence (ESCoE).
  29. Yueqing Jia, 2011. "A New Look at China’s Output Fluctuations: Quarterly GDP Estimation with an Unobserved Components Approach," Working Papers 2011-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
  30. Sun, Lixin, 2016. "Corporate Deleveraging and Macroeconomic Policies: Evidence from China," MPRA Paper 69140, University Library of Munich, Germany.
  31. Redl, Chris, 2015. "Noisy news and exchange rates: A SVAR approach," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 150-171.
  32. Cuevas Ángel & Quilis Enrique M. & Espasa Antoni, 2015. "Quarterly Regional GDP Flash Estimates by Means of Benchmarking and Chain Linking," Journal of Official Statistics, Sciendo, vol. 31(4), pages 627-647, December.
  33. Hassani, Hossein & Rua, António & Silva, Emmanuel Sirimal & Thomakos, Dimitrios, 2019. "Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1263-1272.
  34. Kosei Fukuda, 2009. "Related-variables selection in temporal disaggregation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 343-357.
  35. Sónia Cabral & Cláudia Duarte & José R. Maria, 2023. "Introducing quarterly databases to assess industry-level developments in Portugal and the euro area," Working Papers o202302, Banco de Portugal, Economics and Research Department.
  36. Rafael Cavalcanti De Araújo & Cleomar Gomes Da Silva, 2014. "The Neutral Interest Rate And The Stance Of Monetary Policy In Brazil," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 051, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  37. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
  38. Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao, 2018. "The dynamic causality between commodity prices, inflation and output in China: a bootstrap rolling window approach," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 407-425, January.
  39. Gallego López, Nuria & Llano Verduras, Carlos & Perez García, Julian, 2010. "Estimación de los flujos de transporte de mercancías interregionales trimestrales mediante técnicas de interpolación temporal/Estimating Quarterly Interregional Commodity Transport Flows by Means of T," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 28, pages 699(38á.)-6, Diciembre.
  40. Travaglini, Guido, 2010. "Supervised Principal Components and Factor Instrumental Variables. An Application to Violent CrimeTrends in the US, 1982-2005," MPRA Paper 22077, University Library of Munich, Germany.
  41. Quilis, Enrique M., 2011. "Combining benchmarking and chain-linking for short-term regional forecasting," DES - Working Papers. Statistics and Econometrics. WS ws114130, Universidad Carlos III de Madrid. Departamento de Estadística.
  42. Jürgen Bierbaumer & Sandra Bilek-Steindl, 2017. "Quarterly National Accounts – Manual for Austria. Description of Applied Methods and Data Sources," WIFO Studies, WIFO, number 60427, March.
  43. Tommaso Fonzo, 2003. "Constrained retropolation of high-frequency data using related series: A simple dynamic model approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 12(1), pages 109-119, February.
  44. Vladim r Hajko, 2015. "Energy-Gross Domestic Product Nexus: Disaggregated Analysis for the Czech Republic in the Post-Transformation Era," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 869-888.
  45. Luke Mosley & Idris Eckley & Alex Gibberd, 2021. "Sparse Temporal Disaggregation," Papers 2108.05783, arXiv.org, revised Oct 2022.
  46. Ana Sequeira & Fátima Cardoso, 2015. "Séries Longas Trimestrais para a Economia Portuguesa: 1977-2014," Working Papers o201501, Banco de Portugal, Economics and Research Department.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.